activity
20162023
most citedRethinking Feature Discrimination and Polymerization for Large-scale Recognition

112 citations · 783 across the 45 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.CV2020★ 4 cited

Discriminability Distillation in Group Representation Learning

Manyuan Zhang, Guanglu Song, Hang Zhou +1

Learning group representation is a commonly concerned issue in tasks where the basic unit is a group, set, or sequence. Previously, the research community tries to tackle it by agg…

cs.CV2020

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

Haisheng Su, Jinyuan Feng, Hao Shao +6

This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2020 Task 1 (\textbf{temporal action localization/detection}). Temporal a…

cs.CV2020★ 4 cited

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

Siyu Chen, Junting Pan, Guanglu Song +6

This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly b…

cs.CV2020★ 21 cited

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images

Hang Zhou, Jihao Liu, Ziwei Liu +2

Though face rotation has achieved rapid progress in recent years, the lack of high-quality paired training data remains a great hurdle for existing methods. The current generative…

cs.CV2020★ 12 cited

1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation

Yu Liu, Guanglu Song, Yuhang Zang +5

This article introduces the solutions of the two champion teams, `MMfruit' for the detection track and `MMfruitSeg' for the segmentation track, in OpenImage Challenge 2019. It is c…

cs.CV2020★ 1 cited

KPNet: Towards Minimal Face Detector

Guanglu Song, Yu Liu, Yuhang Zang +3

The small receptive field and capacity of minimal neural networks limit their performance when using them to be the backbone of detectors. In this work, we find that the appearance…

cs.CV2020★ 9 cited

Revisiting the Sibling Head in Object Detector

Guanglu Song, Yu Liu, Xiaogang Wang

The ``shared head for classification and localization'' (sibling head), firstly denominated in Fast RCNN~\cite{girshick2015fast}, has been leading the fashion of the object detecti…

cs.CV2020★ 2 cited

Top-1 Solution of Multi-Moments in Time Challenge 2019

Manyuan Zhang, Hao Shao, Guanglu Song +2

In this technical report, we briefly introduce the solutions of our team 'Efficient' for the Multi-Moments in Time challenge in ICCV 2019. We first conduct several experiments with…

cs.CV2020★ 11 cited

Temporal Interlacing Network

Hao Shao, Shengju Qian, Yu Liu

For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the…